Build Cloud-Based Employee Management Systems Course

Lesson 1 • Cloud Provider Landscape for HR

Surveys major cloud platforms and their HR-relevant managed services. Helps learners select an appropriate provider based on organizational needs.

Lesson 2 • Employee Management System Overview

Maps core HR domains—hiring, onboarding, payroll, performance—to system modules. Provides a functional blueprint used throughout the course.

Lesson 3 • Regulatory and Compliance Baseline

Introduces data privacy obligations and labor data regulations that govern employee systems. Sets compliance expectations applied in every subsequent chapter.

Lesson 1 • Data Modeling for Employee Records

Defines relational and document data models for employee entities and relationships. Produces a normalized schema that supports all HR modules.

Lesson 2 • Architecture Review and Documentation

Formalizes architecture decisions using decision records and diagram standards. Produces artifacts that guide the development team through implementation.

Lesson 3 • API Design and Service Contracts

Establishes REST and GraphQL API conventions for HR service communication. Ensures interoperability between modules and third-party integrations.

Lesson 4 • Scalability and High-Availability Design

Applies load balancing, auto-scaling, and multi-region strategies to HR workloads. Ensures the system meets uptime targets during peak HR events.

Lesson 1 • Identity and Authentication Mechanisms

Covers SSO, OAuth 2.0, and OIDC flows for authenticating HR system users. Connects identity protocols to the user types defined in Chapter 1.

Lesson 2 • Role-Based Access Control Implementation

Defines HR roles, permissions, and policy enforcement points within the system. Ensures employees access only the data their job function requires.

Lesson 3 • Data Encryption and Key Management

Applies encryption at rest and in transit to sensitive employee data fields. Integrates cloud key management services into the data layer.

Lesson 1 • Employee Record Management Module

Implements CRUD operations for employee profiles using the data model from Chapter 2. Covers validation, soft deletes, and audit logging for every record change.

Lesson 2 • Organizational Structure and Hierarchy

Models departments, teams, and reporting lines as graph or hierarchical data structures. Enables org-chart rendering and manager-approval workflows.

Lesson 3 • Module Testing and Quality Assurance

Applies unit, integration, and contract testing strategies to HR module code. Ensures modules meet functional requirements before integration in later chapters.

Lesson 4 • Onboarding Workflow Engine

Builds a configurable task-based onboarding workflow with notifications and deadlines. Integrates with the identity module to provision accounts automatically.

Lesson 1 • Payment Processing and Disbursement

Connects the payroll engine to payment gateway APIs for direct deposit and check generation. Implements idempotent disbursement to prevent duplicate payments.

Lesson 2 • Tax and Statutory Deduction Handling

Integrates configurable tax tables and statutory deduction rules without hard-coding jurisdictions. Supports multiple regional rule sets through a pluggable configuration layer.

Lesson 3 • Payroll Data Model and Pay Rules

Defines pay components, deduction types, and calculation rules as configurable data entities. Extends the employee schema from Chapter 4 with compensation attributes.

Lesson 4 • Payroll Calculation Engine

Implements gross-to-net calculation logic with support for overtime, bonuses, and deductions. Validates results against expected totals before committing a payroll run.

Lesson 1 • Competency and Skills Framework

Models competency libraries and skill gap assessments as structured data linked to roles. Enables targeted development planning based on review outcomes.

Lesson 2 • Talent Pipeline and Succession Planning

Tracks high-potential employees and succession candidates using performance and skill data. Provides dashboards for HR leaders to manage organizational bench strength.

Lesson 3 • Performance Review Cycle Engine

Builds a configurable review cycle with self-assessment, manager review, and calibration stages. Automates notifications and deadline enforcement across the review workflow.

Lesson 1 • Predictive Workforce Analytics

Applies machine learning models to predict attrition, flight risk, and hiring demand. Integrates model outputs as actionable alerts within the HR system.

Lesson 2 • Core HR Metrics and KPIs

Defines and calculates headcount, turnover, time-to-hire, and engagement metrics. Establishes a standard metric catalog used across all dashboards.

Lesson 3 • HR Data Warehouse Design

Designs a dimensional data warehouse schema for HR metrics using star and snowflake models. Ingests data from all modules built in Chapters 4 through 6.

Lesson 4 • Scheduled Reporting and Data Export

Automates report generation and delivery via email, SFTP, and API endpoints. Supports compliance reporting exports aligned with audit requirements from Chapter 1.

Lesson 1 • Cloud Cost Management and Optimization

Monitors and optimizes cloud spend across HR system resources using tagging and budgets. Applies rightsizing and reserved capacity strategies to reduce operational costs.

Lesson 2 • Observability and Performance Monitoring

Implements metrics, distributed tracing, and log aggregation for all HR services. Configures alerts and runbooks to maintain SLA targets defined in Chapter 2.

Lesson 3 • CI/CD Pipeline for HR Systems

Builds automated build, test, and deployment pipelines for all HR modules. Enforces quality gates and security scans before every production release.

Lesson 4 • Continuous Improvement and Feedback Loops

Establishes user feedback collection, feature flagging, and iterative release processes. Connects system telemetry to a product backlog for data-driven prioritization.